I am a non-technical manager trying to understand how we can stop employees from leaking company data through unapproved SaaS apps without slowing everyone down
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
I am a non-technical manager trying to understand how we can stop employees from leaking company data through unapproved SaaS apps without slowing everyone down
3 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 3 queries…
Searches and sources
ChatGPT3 real searches · gpt-6
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
enterprise SaaS data loss prevention shadow IT controls CASB SSE zero trust official guidance CISA NIST OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Microsoft Defender for Cloud Apps app governance session controls DLP official documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Netskope CASB inline DLP SaaS data protection official OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |